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Course Overview

This comprehensive Google Cloud training equips you with the skills to design, deploy, and manage cloud-based solutions using Google Cloud Platform (GCP). Learn key services like Compute Engine, Cloud Storage, Kubernetes, BigQuery, and AI/ML tools. Ideal for beginners and professionals looking to build scalable and secure cloud applications.

Why to

Join This Course

Master Google Cloud Platform from basics to advanced concepts.

Work on real-world cloud projects and gain hands-on experience.

Prepare for globally recognized Google Cloud certifications.

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  • Learn GCP services: Compute Engine, App Engine, Kubernetes Engine, and BigQuery.
  • Gain practical experience with hands-on labs and real-world projects.
  • Explore advanced topics: AI, Machine Learning, and Big Data analytics.
  • Prepare for Google Cloud certifications (Associate Cloud Engineer, Professional Cloud Architect).
  • Get job-ready with cloud-based solutions for real-world challenges.

Course Curriculum

Introduction to Google Cloud Platform.

Understanding cloud computing and GCP’s core infrastructure.

Navigating the GCP Console and Cloud Shell.

Setting up and managing virtual machines with Compute Engine.

Deploying applications with App Engine and Kubernetes Engine.

Configuring networks, firewalls, and load balancing in GCP.

Exploring Google Cloud Storage, Persistent Disks, and Filestore.

Managing databases with Cloud SQL, Cloud Spanner, and Firestore.

Data migration and backup solutions in GCP.

Introduction to BigQuery for data analytics.

Utilizing AI and ML services with AutoML and AI Platform.

Building and deploying machine learning models on GCP.

Implementing Identity and Access Management (IAM).

Securing data with encryption and security keys.

Monitoring and troubleshooting with Google Cloud Operations Suite.

Implementing Identity and Access Management (IAM).

Securing data with encryption and security keys.

Monitoring and troubleshooting with Google Cloud Operations Suite.

CI/CD pipelines with Cloud Build, Container Registry, and Artifact Registry.

Deploying serverless solutions with Cloud Functions and Cloud Run.

Integrating GCP with third-party tools for DevOps workflows.

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Get General Answers

FAQ Questions

GCP is a cloud computing platform by Google that provides scalable and secure infrastructure for businesses to build, deploy, and manage applications.
No, this course is designed for beginners and professionals. It starts from the basics and progresses to advanced topics.
The course prepares you for certifications like Associate Cloud Engineer, Professional Cloud Architect, and more.
Yes, you’ll work on real-world projects, including deploying applications, managing databases, and implementing machine learning models.
Basic programming knowledge is helpful but not mandatory. The course covers relevant programming concepts required for GCP.
You’ll be prepared for roles like Cloud Engineer, Cloud Architect, Data Engineer, and DevOps Engineer.
Yes, the course includes DevOps tools and practices, such as CI/CD pipelines, serverless solutions, and container orchestration.
No specific prerequisites, but hands-on experience with GCP is recommended for certification success.
Yes, you’ll receive a certificate of completion and guidance to earn GCP certifications.
Absolutely! You’ll learn BigQuery, AutoML, and building AI/ML models on GCP.
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